CVE-2025-3188
📋 TL;DR
This critical SQL injection vulnerability in PHPGurukul e-Diary Management System 1.0 allows attackers to manipulate database queries through the Category parameter in /add-notes.php. Attackers can potentially read, modify, or delete sensitive data from the database. All users running the vulnerable version are affected.
💻 Affected Systems
- PHPGurukul e-Diary Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data manipulation, or complete system takeover via SQL injection to remote code execution.
Likely Case
Unauthorized access to sensitive student/teacher data, grade manipulation, or system disruption.
If Mitigated
Limited impact with proper input validation and database permissions restricting damage to non-critical data.
🎯 Exploit Status
Public exploit available on GitHub, SQL injection via Category parameter requires minimal technical skill.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://phpgurukul.com/
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Parameterized Queries
allModify /add-notes.php to use prepared statements and validate Category parameter
Replace SQL queries with prepared statements using PDO or mysqli
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns
Configure WAF to block requests containing SQL keywords in Category parameter
🧯 If You Can't Patch
- Disable or restrict access to /add-notes.php endpoint
- Implement network segmentation and restrict database access to application server only
🔍 How to Verify
Check if Vulnerable:
Test /add-notes.php with SQL injection payloads in Category parameter (e.g., Category=1' OR '1'='1)Check Version:
Check system documentation or admin panel for version informationVerify Fix Applied:
Verify prepared statements are implemented and test with SQL injection payloads returns error or no data leakage📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed login attempts following SQL injection patterns
- Unexpected database queries from web server
Network Indicators:
- HTTP POST requests to /add-notes.php with SQL keywords in parameters
- Unusual database traffic patterns from web server
SIEM Query:
source="web_logs" AND uri="/add-notes.php" AND (param="Category" AND value MATCHES "(?i)(union|select|insert|update|delete|drop|--|#|/*)")